code: def setUp(self) -> None:
      image1 = {
          # ``coco_url`` for v1 only.
          "coco_url": "http://images.cocodataset.org/train2017/0.jpg",
          # ``file_name`` for v0.5 only.
          "file_name": "0.jpg",
          "height": 1024,
          "width": 2048,
          "neg_category_ids": [],
          "not_exhaustive_category_ids": [],
          "id": 0,
      }
      image2 = {
          "coco_url": "http://images.cocodataset.org/train2017/1.jpg",
          "file_name": "1.jpg",
          "height": 1024,
          "width": 2048,
          "neg_category_ids": [],
          "not_exhaustive_category_ids": [],
          "id": 1,
      }
      image3 = {
          "coco_url": "http://images.cocodataset.org/train2017/2.jpg",
          "file_name": "2.jpg",
          "height": 1024,
          "width": 2048,
          "neg_category_ids": [],
          "not_exhaustive_category_ids": [],
          "id": 2,
      }
      image4 = {
          "coco_url": "http://images.cocodataset.org/train2017/3.jpg",
          "file_name": "3.jpg",
          "height": 31,
          "width": 15,
          "neg_category_ids": [],
          "not_exhaustive_category_ids": [],
          "id": 3,
      }
  
      images = [image1, image2, image3, image4]
  
      categories = [
          {
              "id": 1,
              "name": "aerosol_can",
              "frequency": "c",
              "image_count": 64,
          },
          {
              "id": 2,
              "name": "air_conditioner",
              "frequency": "f",
              "image_count": 364,
          },
          {
              "id": 3,
              "name": "airplane",
              "frequency": "f",
              "image_count": 1911,
          },
      ]
  
      annotations = [
          {
              "category_id": 1,
              "bbox": [379.0, 435.0, 52.0, 124.0],
              "area": 2595,
              "segmentation": [[0.0, 0.0]],
              "image_id": 0,
              "id": 0,
          },
          {
              "category_id": 2,
              "bbox": [379.0, 435.0, 52.0, 124.0],
              "area": -1,
              "segmentation": [[0.0, 0.0]],
              "image_id": 0,
              "id": 1,
          },
          {
              "category_id": 3,
              "bbox": [379.0, 435.0, -1, 124.0],
              "area": 2,
              "segmentation": [[0.0, 0.0]],
              "image_id": 0,
              "id": 2,
          },
          {
              "category_id": 1,
              "bbox": [379.0, 435.0, 52.0, -1],
              "area": 2,
              "segmentation": [[0.0, 0.0]],
              "image_id": 0,
              "id": 3,
          },
          {
              "category_id": 1,
              "bbox": [379.0, 435.0, 52.0, 124.0],
              "area": 2595,
              "segmentation": [[0.0, 0.0]],
              "image_id": 0,
              "id": 4,
          },
          {
              "category_id": 3,
              "bbox": [379.0, 435.0, 52.0, 124.0],
              "area": 2595,
              "segmentation": [[0.0, 0.0]],
              "image_id": 1,
              "id": 5,
          },
          {
              "category_id": 3,
              "bbox": [379.0, 435.0, 10, 2],
              "area": 2595,
              "segmentation": [[0.0, 0.0]],
              "image_id": 3,
              "id": 6,
          },
      ]
      fake_json = {
          "images": images,
          "annotations": annotations,
          "categories": categories,
      }
      self.json_name = "lvis.json"
      dump(fake_json, self.json_name)
  
      self.metainfo = dict(
          classes=("aerosol_can", "air_conditioner", "airplane")
      )
  
file_path: mmdetection/tests/test_datasets/test_lvis.py
imports: import os
  import unittest
  from mmengine.fileio import dump
  from mmdet.datasets import LVISV1Dataset, LVISV05Dataset
label_desc: Use image node_id 1 for calling the TestLVISDataset obj's underlying member method code with example usage: obj.setUp() without return types